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335 results for “Theoretical”
Data from: Discovery and information-theoretic characterization of transcription factor binding sites that act cooperatively
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Theoretical insights into the antiradical activity and copper-catalyzed oxidative damage of mexidol in the physiological environment
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Metabolic growth mechanisms and theoretical growth potential of global woody plant communities
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Strong evidence of an Information-Theoretical Conservation Principle linking all discrete systems
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Data from: Strong evidence of an Information-Theoretical Conservation Principle linking all discrete systems
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Data from: Why do top predators engage in superpredation? From an empirical scenario to a theoretical framework
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An effective mutualism? The role of theoretical studies in ecology and evolution
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GaN and InGaN nanowires prepared by metal-assisted electroless etching: experimental and theoretical studies
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Data from: Discovering biogeographic and ecological clusters with a graph theoretic spin on factor analysis
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Code from: A theoretical framework for trait-based eco-evolutionary dynamics: population structure, intraspecific variation, and community assembly
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Data from: Combined effects of natural enemies and competition for resources on a forest defoliator: a theoretical and empirical analysis
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Insights into the aggregation mechanism of RRM domains in TDP-43: A theoretical exploration
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Information theoretic evidence for layer- and frequency-specific changes in cortical information processing under anesthesia
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Fig. 3 in Theoretical and experimental study on the nymphal growth of the Australian field cricket (Insecta: Orthoptera)
Fig. 3: Comparison of theoretical and experimental temperature-development data of the black field cricket Teleogryllus commodus: (a) 23°C, (b) 27°C, (c) 30°C.
Fig. 2 in Theoretical and experimental study on the nymphal growth of the Australian field cricket (Insecta: Orthoptera)
Fig. 2: Scheme depicting the multi-compartment model with its different parts. Number of compartments depends on the amount of developmental stages during larvogenesis.
Fig. 1 in Theoretical and experimental study on the nymphal growth of the Australian field cricket (Insecta: Orthoptera)
Fig. 1: Development of hemimetabolous insects (e.g., crickets) with a predefined number of nymphal instars. Duration of larvogenesis among other depends on external factors such as environmental temperature.
Thermal effects vary predictably across levels of organization: empirical results and theoretical basis
Thermal performance curves have provided a common framework to study the impact of temperature in biological systems. However, few generalities have emerged to date. Here we combine an experimental approach with theoretical analyses to demonstrate that performance curves are expected to vary predictably with the levels of biological organization. We measured rates of enzymatic reactions, organismal performance and population viability in Drosophila acclimated to different thermal conditions and show that performance curves become narrower with thermal optima shifting towards lower temperatures at higher levels or organization. We then explain these results on theoretical grounds, showing that this pattern reflects the cumulative impact of asymmetric thermal effects that piles up with complexity. These results and the proposed framework are important to understand how organisms, populations and ecological communities might respond to changing thermal conditions.
Data from: Can multi-species shark longline fisheries be managed sustainably using size limits? Theoretically, yes. Realistically, No.
<p>This is the raw data used in :</p> <p>Smart J, White W, Baje L<span>,</span> Chin A, D'Alberto B, Grant M, Mukherji S and Simpfendorfer C (2020) Can multi-species shark longline fisheries be managed sustainably using size limits? Theoretically, yes. Realistically, No. Journal of Applied Ecology</p> <p>Included are two R scripts which create data inputs and then perform the articles analsysis.</p>
Data from: Empirical and theoretical study of Atelostomate (Echinoidea, Echinodermata) plate architecture: using graph analysis to reveal structural constraints
Describing patterns of connectivity among organs is essential for identifying anatomical homologies among taxa. It is also critical for revealing morphogenetic processes and the associated constraints that control the morphological diversification of clades. This is particularly relevant for studies of organisms with skeletons made of discrete elements such as arthropods, vertebrates, and echinoderms. Nonetheless, relatively few studies devoted to morphological disparity have considered connectivity patterns as a level of morphological organization or developed comparative frameworks with proper tools. Here, we analyze connectivity patterns among apical plates in Atelostomata, the most diversified clade among irregular echinoids. The clade comprises approximately 1600 fossil and Recent species (e.g., 25% of post-Paleozoic species of echinoids) and shows high levels of morphological disparity. Plate connectivity patterns were analyzed using tools and statistics of graph theory. To describe and explore the diversity of connectivity patterns among plates, we symbolized each pattern as a graph in which plates are coded as nodes that are connected pairwise by edges. We then generated a comparative framework as a morphospace of connections, in which the disparity of plate patterns observed in nature was mapped and analyzed. Main results show that apical plate patterns are both highly disparate between and within atelostomate groups and limited in number; overall, they also constitute small, compact, and simple structures compared to possible random patterns. Main traits of the evolution of apical plate patterns reveal the existence of strong morphogenetic constraints that are phylogenetically determined. In contrast, evolutionary radiations within atelostomates were accompanied by a clear increase in disparity, suggesting a release of some constraints at the origin of clades.
Data from: Genetic load, inbreeding depression and hybrid vigor covary with population size: an empirical evaluation of theoretical predictions
Reduced population size is thought to have strong consequences for evolutionary processes as it enhances the strength of genetic drift. In its interaction with selection, this is predicted to increase the genetic load, reduce inbreeding depression, and increase hybrid vigour, and in turn affect phenotypic evolution. Several of these predictions have been tested, but comprehensive studies controlling for confounding factors are scarce. Here we show that populations of Daphnia magna, which vary strongly in genetic diversity, also differ in genetic load, inbreeding depression, and hybrid vigor in a way that strongly supports theoretical predictions: Inbreeding depression is positively correlated with genetic diversity (a proxy for Ne), and genetic load and hybrid vigour are negatively correlated with genetic diversity. These patterns remain significant after accounting for potential confounding factors and indicate that, in small populations, a large proportion of the segregation load is converted into fixed load. Overall, the results suggest that the nature of genetic variation for fitness-related traits differs strongly between large and small populations. This has large consequences for evolutionary processes in natural populations, such as selection on dispersal, breeding systems, ageing, and local adaptation.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.